Latent Class Analysis of Gambling Activities in a Sample of Young Swiss Men: Association with Gambling Problems, Substance Use Outcomes, Personality Traits and Coping Strategies

Systematic Assessment of Gambling Type Involvement: Reliability and Validity of the Gambling Disorder Identification Test (GDIT)

Gambling type involvement, both in terms of participation (engagement in specific gambling types) and diversity (how many gambling types an individual engages in), is a key feature to address in gambling self-report measures, but such systematic measurement procedures are scarce. The aim of this study was to test the psychometric performance of the gambling type assessment in the recently developed Gambling Disorder Identification Test (GDIT), in terms of test-retest reliability, convergent validity, and patterns of gambling diversity, among help-seeking and general population gambling samples (total n = 603). Overall, online gambling was more commonly reported as problematic than land-based gambling. Retest reliability varied for specific gambling types (ICC range 0.32-0.64, rtet range 0.66-0.85). In terms of gambling participation, online gambling showed stronger correlations with GDIT total score (i.e., symptom severity) than land-based gambling, where Slots showed the strongest correlation (r = 0.52), followed by Casino table games (r = 0.25), Sports and Horse betting (r = 0.16 and r = 0.14, respectively), and Poker (r = 0.14). Lotteries showed no correlation with GDIT total score (r=-0,01). For Slots gambling, all gambling diversity levels (including Slots as a single gambling type) were on average associated with the highest diagnostic severity level (GDIT total score > 30; severe gambling disorder). Finally, explorative configural frequency analysis identified typical and antitypical gambling diversity patterns. The result from the current study corroborates findings that engagement in specific gambling types matter, and that such features should be included in gambling measurement. We conclude that the GDIT is a reliable and valid measure for systematic assessment of gambling type involvement. The GDIT can be used to assess gambling participation and diversity, as part of a broad measurement setup for problem gambling and gambling disorder.

Gambling, tobacco use, and health among individuals in substance use disorder treatment

BACKGROUND AND OBJECTIVES

Gambling is highly comorbid with disordered use of tobacco and other drugs, and may increase relapse risk among substance use disorder (SUD) patients. We investigated associations between gambling and tobacco use behaviors among SUD patients to inform clinical care.

METHODS

Patients (N = 651, 170 female) from 25 residential SUD treatment programs in California completed surveys about tobacco use, health, and gambling. Using multivariate regression, we examined associations between gambling, tobacco use behaviors, and mental and physical health.

RESULTS

Past-year gamblers were more likely than non-gamblers to be current smokers (adjusted odds ratio [AOR] = 1.44, 95% confidence interval [CI] = 1.03, 2.01). Smokers who gambled had higher mean Heaviness of Smoking Index (HSI) scores (mean difference = +0.32, 95% CI = 0.04, 0.60), and more often reported smokeless tobacco use (AOR = 1.73, 95% CI = 1.16, 2.58), compared to non-gambling smokers. Past-year problem gamblers were more likely than all others (non-gamblers and non-problem gamblers) to be current smokers (AOR = 1.44, 95% CI = 1.08, 1.90) and to report high psychosocial stress (AOR = 1.87, 95% CI = 1.34, 2.61). Smokers with problem gambling also had higher HSI scores (mean difference = +0.54, 95% CI = 0.14, 0.95) compared to smokers without problem gambling.

DISCUSSION AND CONCLUSIONS

Gambling and problem gambling were associated with tobacco use and heavier smoking. SUD patients with gambling comorbidity may be heavier smokers and may need concurrent treatment for tobacco use and problem gambling.

SCIENTIFIC SIGNIFICANCE

This study provides novel data regarding gambling and tobacco use behaviors among SUD patients.

Phenotype of Gambling Disorder Patients with Lotteries as a Preferred Form of Gambling

Lottery gambling can become an addictive behavior which can significantly interfere with daily functioning. The objectives of this work were to estimate the prevalence of lottery gambling, to assess the profile related to this gambling type in a large clinical sample of patients who met criteria for gambling disorder (GD), and to compare this profile with the other two non-strategic forms of gambling (slot-machines and bingo). Sample included n = 3,531 patients consecutively attended for treatment-seeking due to gambling-related problems. All the participants met criteria for GD and were into the range of 18 to 85 years old. Sociodemographic variables, GD severity, psychopathological state, and personality traits were assessed. Statistical comparisons between the groups defined by the patients’ gambling preference (lotteries versus other gambling activities) were conducted, with chi-square test and analysis of variance. The prevalence of lotteries as the only gambling activity was 2.5%, 8.9% for lottery gambling as primary activity with other secondary gambling types, and 20.6% for lotteries as primary or secondary gambling activity. Lottery gambling and bingo gambling were more prevalent among women (bingo included the highest percentage of women). Compared to slot machine gambling, lotteries and bingo grouped older patients and those with later age of onset of the gambling-related problems. Bingo gambling showed the highest psychological distress and the most dysfunctional personality traits. This study shows the high frequency of lottery gambling among treatment-seeking for GD patients, and it provides empirical evidence about the profile associated with this gambling activity compared to other non-strategic gambling forms. The likelihood of lottery gambling is higher for women, patients married or living with a stable partner, and those within higher social position indexes.

Offline and Online Gambling in a Swiss Emerging-Adult Male Population

Faced with the rapid expansion of the online gambling offer, a growing number of jurisdictions around the world are developing legislation to regulate online gambling. The new Swiss Act on gambling extends legalization of online gambling from already authorized lottery-type to casino-type gambling. In this context, the present study examines offline and online gambling behaviors in emerging-adult males as a particularly at-risk population for gambling addiction. A sample of 1,869 young males completed a questionnaire assessing offline and online gambling behaviors as well as severity of problem gambling. Results show that 62.1% of the respondents were lifetime gamblers while 46.7% were past-year gamblers. Among the latter, 76.4% had gambled only within offline venues, 21.4% had gambled at both offline and online sites, and 2.2% had gambled online only. Furthermore, 17.6% of past-year gamblers were at moderate-risk of developing problem gambling whilst 3.6% were problem gamblers. Association analysis showed that, compared to non-problem gamblers, at-risk and problem gamblers played online at higher rates. These findings contribute to the growing literature on youth gambling behaviors and on offline-online transitions. In the context of the growing online gambling supply, the evolution of youth gambling behaviors should be monitored through periodical assessments.

The Severity of Gambling and Gambling Related Cognitions as Predictors of Emotional Regulation and Coping Strategies in Adolescents

People with gambling disorder (GD) exhibit distorted cognitions and superstitious beliefs more often than the general population. Similarly, difficulties in coping and emotion dysregulation are more prevalent among those with GD, and could determine the onset of GD in particularly vulnerable groups such as adolescents. This study examines the relationship between gambling severity and gambling-related cognitions with coping strategies and emotion regulation. Also, it explores how accurately gambling severity and gambling-related cognitions were able to predict emotion regulation and coping strategies. Two groups were recruited and analyzed: a community sample comprising 250 adolescents and young adults from secondary education schools, and a clinical sample of 31 patients with similar age characteristics seeking treatment for GD. The participants from the clinical sample scored higher on gambling severity, emotion dysregulation, cognitive biases, and maladaptive coping strategies. In the community sample, cognitive biases mediated the relationship between sex and emotion dysregulation and disengagement. People with GD use more often than controls maladaptive emotion regulation strategies to manage negative emotional states. This perspective emphasizes the need to focus on coping with emotions, as opposed to coping with problems, as the best approach to tackle gambling problems.

The Gambling Consumption Mediation Model (GCMM): A Multiple Mediation Approach to Estimate the Association of Particular Game Types with Problem Gambling

Bivariate associations of problem gambling with participation in particular game types often decrease when adjusting for demographics or consumption behavior (e.g., number of game types played). A summary of 14 peer-reviewed studies showed inconsistencies as well as conceptual and methodological challenges. The aim of this study was to expand previous research by a combination of (1) sophisticated feature-engineering, which disaggregates gambling intensity into facets within and beyond a game type of interest, and (2) the application of mediation models. Data comprised last year gamblers of three merged cross sectional Icelandic gambling surveys of 2007, 2011, and 2017 (N = 4422). For each of 15 game types (12-month time frame), a parallel multiple mediation model was applied to disaggregate bivariate associations of last year game type participation and problem gambling (Problem Gambling Severity Index) by six mediating mechanisms: (1) demographic problem gambling propensity, (2) number of game types played, (3) gambling frequency within the type, (4) maximum gambling frequency across all types beyond, (5) usual spending within the type, (6) maximum usual spending across all types beyond. Games showed two distinct profiles via which mediator they mostly impacted problem gambling: Electronic gaming machines offline, scratch cards offline, live betting online, and poker offline as well as online impacted problem gambling mostly via gambling frequency within, whereas all other types mostly impacted via the number of game types played. The applied mediation models answer the question by which mechanism game types impact problem gambling in a more exhaustive way than previous research.

The structure and subtypes of gambling activities: Genetic, psychiatric and behavioral etiologies of gambling frequency

The multitude of gambling activities has given rise to heterogeneous ways of analyzing these behaviors and may partially underlie the lack of replication in gambling research. The current study used complementary analyses to investigate the structure, typology and etiology of gambling behaviors in a discovery sample of 2,116 twins (54.86% female; M_age = 24.90) and a replication sample of 619 siblings (30.37% female; M_age = 28.00). Our approach was twofold. First, we used confirmatory factor analyses to investigate the structure across the frequency of eight gambling activities. Second, we used factor mixture models to identify gambling frequency subtypes. We assessed associations with gambling frequency as well as conducted genetically informed analyses to estimate the role of genetic and environmental influences. Across samples, a two-factor model fit the data best, with a Common Gambling factor influencing all activities and a separate factor for Skill Gambling. Our study identified four gambling frequency subtypes, which resembled the typology from the Pathways Model. We found distinct demographic, psychiatric, behavioral and genetic risk profiles for the different gambling factors and subtypes with robust associations observed for male sex, risk-taking, sensation seeking, alcohol dependence and problem gambling. Controlling for shared genetic and environmental influences (via co-twin control modeling), we found that sensation seeking directly increased Common Gambling frequency. In sum, we illustrated the utility of multi-dimensional statistical techniques for disentangling the structure and typology from complex multivariate gambling data.

The Relationship Between Gambling Problems and the Five-Factor Model of Personality: A Systematic Review and Meta-Analysis

Objectives: The aim of the present meta-analysis was to synthesize results from the association between problem gambling (PG) and dimensions of the five factor model of personality and to identify potential moderators (gambling diagnosis: yes/no, comorbidity: yes/no and trait assessment: four or fewer items vs. five items or more) of these associations in meta-regressions. Methods: Searches were conducted in six databases; Medline, Web of Science, PsychInfo, Google Scholar, OpenGrey, and Cochrane Library (conducted on February, 22, 2021). Included studies: (1) reported a relationship between PG and at least one of the personality traits in the five-factor model, (2) contained information of zero-order correlations or sufficient data for such calculations, and (3) were original articles published in any European language. Case-studies, qualitative studies, and reviews were excluded. All articles were independently screened by two authors. Final agreement was reached through discussion or by consulting a third author. Risk of bias of the included studies was assessed by the Newcastle-Ottawa Scale. Data were synthesized using a random effects model. Results: In total 28 studies, comprising 20,587 participants, were included. The correlations between PG and the traits were as follows: Neuroticism: 0.273 (95% CI = 0.182, 0.358), conscientiousness -0.296 (95% CI = -0.400, -0.185), agreeableness -0.163 (95% CI = -0.223, -0.101), openness -0.219 (95% CI = -0.308, -0.127), and extroversion -0.083 (95% CI = -0.120, -0.046). For all meta-analyses the between study heterogeneity was significant. Presence of gambling diagnosis was the only moderator that significantly explained between-study variance showing a more negative correlation to extroversion when participants had a gambling diagnosis compared to when this was not the case. Discussion: The results indicated some publication bias. Correcting for this by a trim-and-fill procedure showed however that the findings were consistent. Clinicians and researchers should be aware of the associations between personality traits and PG. Previous studies have for example showed neuroticism to be related to treatment relapse, low scores on conscientiousness to predict treatment drop-out and agreeableness to reduce risk of treatment drop-out. Systematic Review Registration: PROSPERO (CRD42021237225).

Segmenting Chinese Gamblers Based on Gambling Forms: A Latent Class Analysis

Segmentation of gamblers is useful for understanding their distinctive characteristics and enforcing customized measures in harm minimization work. Previous research has commonly adopted gambling motivation and involvement as segmentation criteria. However, these criteria are less identifiable through observation. Gambling forms, used in recent gambling segmentation research, are more observable, facilitating the prevention and treatment work of governments and practitioners, as the identified segments have distinctive gambling disorder symptoms. As gambling is widespread in the Chinese population and little is known about this ethnic group in terms of gambling form segments, latent class analysis was used to classify 855 Chinese gamblers in Macau based on their participation in 11 gambling forms in the previous 12 months. The analysis identified three distinct segments: casino gamblers, lottery gamblers, and sociable gamblers. Socio-demographic differences between the three segments were revealed. Casino gamblers, compared with their counterparts, were more likely to have DSM-V symptoms, particularly escape and bailouts. Lottery gamblers and sociable gamblers only differed in one symptom, the latter having a higher probability of chasing their losses. Based on these results, Macau policymakers are advised to prioritize their harm minimization measures such as requiring casinos to provide training to workers to help to identify gambling disorder symptoms and that workers should intervene when the symptoms of escape and bailouts were identified from the gamblers. Special attention should be given to Macau casino gamblers who are male, unemployed, or with highest education of high school diploma.

Gambling Subgroups among Korean Out-of-school Adolescents

Purpose

The number of Korean adolescents engaging in gambling is increasing, especially among out-of-school adolescents. This study aimed to identify patterns of gambling activities and factors related to specific subgroups of out-of-school adolescent gambling activities.

Methods

This descriptive study analyzed secondary data from the 2015 Korea Youth Gambling Problem Survey, including 1,200 out-of-school adolescents. Latent class analysis was conducted to identify patterns of gambling activities. The factors related to gambling subgroups were verified with multinomial logistic regression.

Results

Three latent classes of gambling activities were identified: rarely gambling (RG), immediate gain gambling (IGG), and broad gambling (BG). These subgroups differed significantly in terms of gender, age at and type of first gambling experience, number and type of gambling activities, gambling frequency, time and money spent on gambling, problem gambling severity, and motivation for gambling. Compared to the RG subgroup, both the IGG and BG subgroups were strongly associated with an older age at the first gambling experience.

Conclusion

Out-of-school adolescents who first gambled at an older age and who gambled mainly in order to gain money immediately were at risk of problem gambling. Developing strategies for early screening and referral to professionals is necessary to prevent gambling problems from worsening.

The joint role of impulsivity and distorted cognitions in recreational and problem gambling: A cluster analytic approach

BACKGROUND AND AIMS

The Pathways Model (Blaszczynski & Nower, 2002) posits that problem gambling is a heterogeneous disorder with distinct subgroups (behaviorally conditioned gamblers, emotionally vulnerable gamblers, and antisocial-impulsivist gamblers). Impulsivity traits and gambling-related cognitions are recognized as two key psychological factors in the onset and maintenance of problem gambling. To date, these constructs have been explored separately, and their joint role in determining problem gambling subtypes has received little attention. The goal of our study was to identify subgroups of gamblers based on impulsivity traits and gambling-related cognitions, and to determine whether this approach is consistent with the Pathways model.

METHODS

Gamblers from the community (N = 709) and treatment-seeking pathological gamblers (N = 122) completed questionnaires measuring gambling habits, disordered gambling symptoms, gambling-related cognitions, and impulsivity traits.

RESULTS

Cluster analyses revealed that three clusters globally aligned with the pathways proposed by Blaszczynski & Nower (2002). Two other clusters emerged: (1) impulsive gamblers without cognitive-related cognitions; and (2) gamblers without impulsivity or gambling-related cognitions. Gamblers with both heightened impulsive traits and gambling-related cognitions had more severe problem gambling symptoms.

CONCLUSION

We successfully identified, based on an a priori theoretical framework, different subtypes of gamblers that varied in terms of problem gambling symptoms and clinical status. The diversity of the cluster profiles supports the development of personalized prevention strategies and psychological interventions.

Latent profiles of family background, personality and mental health factors and their association with behavioural addictions and substance use disorders in young Swiss men

Background:

Recent theories suggest that behavioural addictions and substance use disorders may be the result of the same underlying vulnerability. The present study investigates profiles of family background, personality and mental health factors and their associations with seven behavioural addictions (to the internet, gaming, smartphones, internet sex, gambling, exercise and work) and three substance use disorder scales (for alcohol, cannabis and tobacco).

Methods:

The sample consisted of 5287 young Swiss men (mean age = 25.42) from the Cohort Study on Substance Use Risk Factors (C-SURF). A latent profile analysis was performed on family background, personality and mental health factors. The derived profiles were compared with regards to means and prevalence rates of the behavioural addiction and substance use disorder scales.

Results:

Seven latent profiles were identified, ranging from profiles with a positive family background, favourable personality patterns and low values on mental health scales to profiles with a negative family background, unfavourable personality pattern and high values on mental health scales. Addiction scale means, corresponding prevalence rates and the number of concurrent addictions were highest in profiles with high values on mental health scales and a personality pattern dominated by neuroticism. Overall, behavioural addictions and substance use disorders showed similar patterns across latent profiles.

Conclusion:

Patterns of family background, personality and mental health factors were associated with different levels of vulnerability to addictions. Behavioural addictions and substance use disorders may thus be the result of the same underlying vulnerabilities.

Addictive behaviors in alcohol use disorder: dysregulation of reward processing systems and maladaptive coping strategies

DSM-5 has included within the substance-related and addictive disorders diagnostic category behavioral addictions, such as gambling disorder. Some scholars also considered ICD-11 compulsive sex as a behavioral addiction. Furthermore, an addiction model of dysfunctional eating behaviors has been proposed. Consistently, the existence of common addiction mechanisms related to substance and non-substance related disorders has been hypothesized. Nevertheless, this approach was called into question, especially considering alternative processes which might be implicated in such conditions. This study aims to compare these opposite theoretical positions concerning substance- and nonsubstance related disorders, investigating the latent structure of addictive behaviors among alcohol use disorder (AUD) individuals. Addictive behaviors were self-reported assessed using the Shorter PROMIS Questionnaire (SPQ). We recruited 456 (59.2% male; 40.8% female) AUD treatment-seeking patients. Two latent structures were tested using a confirmatory factor analytic approach. We compared a one-factor (i.e., common addiction mechanisms) with a two-factor solution (i.e., dysregulation of reward processing systems and maladaptive coping strategies). The two-factor solution showed adequate goodness-of-fit indexes. Specifically, dysregulation of the reward processing systems dimension predicted the SPQ illicit and prescription drugs, gambling, and sex subscales. Conversely, the maladaptive coping strategies dimension predicted the SPQ compulsive buying, binge eating and food restriction subscales. The latent dimensions significantly correlated with each other. Compulsive sex might be preliminarily considered as a behavioral addiction. AUD individuals might show complex patterns of maladaptive behaviors functionally related to different latent processes. Differential treatment approaches are suggested to treat these conditions.

Attachment and behavioral addictions in adolescents: The mediating and moderating role of coping strategies

Gambling, video gaming, and Internet use are typically included as everyday activities that could potentially become behavioral addictions. There is growing evidence that views non-substance related addictions as coping mechanisms, and considers that attachment styles are likely to play a pivotal role on the development of such addictions, especially on young people. Therefore, the present study aimed to: (1) explore the association between attachment, coping, and behavioral addictions (i.e., gambling disorder, video game addiction, and problematic Internet use); and (2) to analyze the mediating/moderating effect that coping has in the relationship of attachment and these behavioral addictions. A sample consisting of 472 students from secondary education (Mean age = 15.6; SD = 1.33; 51.6% females) was recruited. The findings showed a negative association between attachment and behavioral addictions. Most coping strategies were found to be associated with attachment styles, except for self-critique and emotional avoidance. In particular, problem avoidance was significantly correlated to all behavioral addictions. In addition, self-blame and problem solving were significantly correlated to video game addiction and problematic Internet use. Finally, coping was found to act as a mediator and moderator between attachment and video game addiction and problematic Internet use.

A Latent Class Analysis of Gambling Activity Patterns in a Canadian University Sample of Emerging Adults: Socio-demographic, Motivational, and Mental Health Correlates

This analysis of gambling habits of Canadian university students (ages 18-25) dovetails two recent developments in the field of gambling studies. First, the popularity of latent class analysis to identify heterogeneous classes of gambling patterns in different populations; second, the validation of the Gambling Motives Questionnaire (with financial motives) among university students-specifically to understand both how and why emerging adults gamble. Our results support a four-class model of gambling activity patterns, consisting of female-preponderant casual and chance-based gambling groups, and male-preponderant skill-based and extensive gambling groups. Each class shows a specific combination of motives, underscoring the necessity for nuanced responses to problem gambling among emerging adults. More specifically, gambling for the skill-based group appears primarily to be a source of thrill and a way to cope; for the chance-based group, gambling appears but one symptom of a set of wider issues involving depression, anxiety, substance use, and low self-esteem; while extensive gamblers seem to seek excitement, sociality, and coping, in that order. Only the chance-based group was significantly more likely than casual gamblers to be motivated by financial reasons. Situating our analysis in the literature, we suggest that interventions for the predominantly male subtypes should address gambling directly (e.g. re-focusing excitement seeking into other activities, instilling more productive coping mechanisms) while interventions for predominantly female subtypes should address low self-esteem in conjunction with depression, substance abuse, and problematic levels of gambling. We conclude future research should focus on links between self-esteem, depression, substance abuse, and financial motives for gambling among female emerging adults.

[Latent Class Analysis of Gambling Activities among Korean Adolescents]

PURPOSE

The aim of this study is to identify the types of gambling among adolescents and provide basic prevention information regarding adolescents' gambling problems.

METHODS

Secondary data from representative national survey on 2015 Youth Gambling Problems of Korea Center on Gambling Problems were used. Using latent class analysis (LCA), 13 gambling types such as offline and online games of 14,011 adolescents were classified, and gambling experiences and characteristics were analyzed.

RESULTS

The subgroups of adolescent gambling were identified as four latent classes: a rare group (84.5% of the sample), a risk group (1.0%), an offline group (11.9%), and an expanded group (2.6%). The types and characteristics of gambling among the latent classes differed. In the risk group, adolescents participated in online illegal sports betting and internet casino, and gambling time, gambling expenses, and the number of gambling types were higher than other groups.

CONCLUSION

Gambling frequently occur among adolescent, and the subtypes of gambling did not reveal homogeneous characteristics. In order to prevent adolescent gambling problems, it is a necessary to develop tailored prevention intervention in the nursing field, which is appropriate to the characteristics of adolescent gambling group and can help with early identification.

Patterns of Gambling Activities and Gambling Problems Among Italian High School Students: Results from a Latent Class Analysis

This study aims to provide an estimate of the prevalence of gambling among Italian adolescents and a description of their patterns of gambling activities (PGAs) using a latent class analysis on 13 different types of games. A nationwide sample of 10,959 Italian high school students was recruited in 2013. We assessed problem gambling using the South Oaks Gambling Screen: Revisited for Adolescent (SOGS-RA) scale. Approximately half (50.6%) of students reported gambling at least once in the previous year; 5.0% of them were problem gamblers and 9.1% were at-risk gamblers according to their SOGS-RA scores. Eight PGAs were identified, among which heavy players (1.7% of students) could be classified as problem gamblers and broad skill players (2.0%) and lotteries & sports players (2.4%) as "at-risk" players. These high-risk classes were consistently associated with risky behaviours in terms of substance use, school performance, money spent on gambling and family environment; the other five classes identified low-risk players associated with safe behaviours. To the best of our knowledge, this is the first study to identify PGAs among Italian adolescents. Problem gamblers are not a homogeneous group in terms of patterns of gambling activities and are associated with different risk factors, among which environmental factors, such as parents' gambling attitude and behaviour, deserve special attention. The acknowledgment of such patterns and risk factors could be useful in developing sensible public policies addressing prevention strategies and regulatory instruments.

Latent class analysis of gambling subtypes and impulsive/compulsive associations: Time to rethink diagnostic boundaries for gambling disorder?

Background

Gambling disorder has been associated with cognitive dysfunction and impaired quality of life. The current definition of non-pathological, problem, and pathological types of gambling is based on total symptom scores, which may overlook nuanced underlying presentations of gambling symptoms. The aims of the current study were (i) to identify subtypes of gambling in young adults, using latent class analysis, based on individual responses from the Structured Clinical Interview for Gambling Disorder (SCI-GD); and (ii) to explore relationships between these gambling subtypes, and clinical/cognitive measures.

Methods

Total 582 non-treatment seeking young adults were recruited from two US cities, on the basis of gambling five or more times per year. Participants undertook clinical and neurocognitive assessment, including stop-signal, decision-making, and set-shifting tasks. Data from individual items of the Structured Clinical Interview for Gambling Disorder (SCI-GD) were entered into latent class analysis. Optimal number of classes representing gambling subtypes was identified using Bayesian Information Criterion and differences between them were explored using multivariate analysis of variance.

Results

Three subtypes of gambling were identified, termed recreational gamblers (60.2% of the sample; reference group), problem gamblers (29.2%), and pathological gamblers (10.5%). Common quality of life impairment, elevated Barratt Impulsivity scores, occurrence of mainstream mental disorders, having a first degree relative with an addiction, and impaired decision-making were evident in both problem and pathological gambling groups. The diagnostic item ‘chasing losses’ most discriminated recreational from problem gamblers, while endorsement of ‘social, financial, or occupational losses due to gambling’ most discriminated pathological gambling from both other groups. Significantly higher rates of impulse control disorders occurred in the pathological group, versus the problem group, who in turn showed significantly higher rates than the reference group. The pathological group also had higher set-shifting errors and nicotine consumption.

Conclusions

Even problem gamblers who had a relatively low total SCI-PG scores (mean endorsement of two items) exhibited impaired quality of life, objective cognitive impairment on decision-making, and occurrence of other mental disorders that did not differ significantly from those seen in the pathological gamblers. Furthermore, problem/pathological gambling was associated with other impulse control disorders, but not increased alcohol use. Groups differed on quality of life when classified using the data-driven approach, but not when classified using DSM cut-offs. Thus, the current DSM-5 approach will fail to discriminate a significant fraction of patients with biologically plausible, functionally impairing illness, and may not be ideal in terms of diagnostic classification. Cognitive distortions related to ‘chasing losses’ represent a particularly important candidate treatment target for early intervention.

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Current classification of gambling pathology relies on total number of criteria met for gambling disorder (DSM-5)

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This approach can be seen as somewhat arbitrary and may overlook meaningful gambling subtypes

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Latent class analysis (LCA) was used to identify candidate subtypes of gambling in 582 gamblers.

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Compared to the reference class, both problem gamblers and gambling disorder classes showed relatively impaired quality of life, and more psychiatric morbidity.

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Both problem gamblers and gambling disorder classes also showed higher impulsivity scores and impaired decision-making.

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LCA classification was sensitive to group quality of life differences, whereas DSM-5 classification was not.

Usage of a Responsible Gambling Tool: A Descriptive Analysis and Latent Class Analysis of User Behavior

Gambling is a common pastime around the world. Most gamblers can engage in gambling activities without negative consequences, but some run the risk of developing an excessive gambling pattern. Excessive gambling has severe negative economic and psychological consequences, which makes the development of responsible gambling strategies vital to protecting individuals from these risks. One such strategy is responsible gambling (RG) tools. These tools track an individual's gambling history and supplies personalized feedback and might be one way to decrease excessive gambling behavior. However, research is lacking in this area and little is known about the usage of these tools. The aim of this article is to describe user behavior and to investigate if there are different subclasses of users by conducting a latent class analysis. The user behaviour of 9528 online gamblers who voluntarily used a RG tool was analysed. Number of visits to the site, self-tests made, and advice used were the observed variables included in the latent class analysis. Descriptive statistics show that overall the functions of the tool had a high initial usage and a low repeated usage. Latent class analysis yielded five distinct classes of users: self-testers, multi-function users, advice users, site visitors, and non-users. Multinomial regression revealed that classes were associated with different risk levels of excessive gambling. The self-testers and multi-function users used the tool to a higher extent and were found to have a greater risk of excessive gambling than the other classes.